Clean CSV
/CleanCsvTry it in
When to reach for this
Getting from a raw dataset to a defensible conclusion.
- Cleaning and reshaping data before it goes anywhere
- Choosing a method and justifying the choice
- Turning numbers into a written finding someone will act on
- Area
- Cleaning
- Effort
- No blanks to fill
- Difficulty
- easy
- Niche
- 6 commands here
Closest commands in the same niche
Fresh and trending
Ordered by the catalogue's own addedAt and popularity fields — not by live traffic, which SlashAI never sees. Some addedAt values in the source data sit in the future, so treat “newest” as newest-in-catalogue rather than as a verified publication date.
Hashtags
What it does
Normalize headers, fix types, trim whitespace and remove duplicate rows.
How to use
Attach the CSV, name the column that uniquely identifies a row, and list any formats that must be enforced.
Example
/CleanCsv File: contacts.csv — 12,400 rows Unique key: email Rules: lowercase emails, ISO-8601 dates, strip trailing spaces Report: rows dropped and why
Run it in
Paste the command, then attach the file or text on the same message - it handles mixed input well.
How did this land?
Only you see this — stored on this devicePaste this command into your AI tool, then come back and say how it went. Your answer stays in this browser — SlashAI has no server and no account, so there is nothing to send it to and nobody who would read it.
You might also like
/CleanJson
Normalize, dedupe and fix types in a JSON payload — e.g. webhook-payload.json — nested 4 levels deep, 12 event types.
/CleanSurvey
Normalize, dedupe and fix types in survey results — e.g. nps-survey-responses.csv — 512 responses, free-text comments.
/CleanSpreadsheet
Normalize, dedupe and fix types in a spreadsheet — e.g. budget-2025.xlsx — 6 tabs, formulas breaking on tab 3.
/CleanTable
Normalize, dedupe and fix types in a database table — e.g. public.users — 2.1M rows, nullable email column.